• 한국벤처창업학회:학술대회논문집
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• 2023.04a
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• pp.1-5
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• 2023

최근 정보통신기술의 발달로 인하여 디지털 전환의 발달이 활발하다. 특히나 이런 디지털 전환의 영향은 대기업에게만 주는 것이 아닌 소상공인들에게도 많은 영향을 주고 있다. 하지만 소상공인들을 대상으로 한 디지털 전환에 대한 연구는 적은 편이었기에 본 연구에서는 디지털 전환으로 인한 소상공인의 실질적인 성과가 있는가를 살펴보았다. 연구 방법으로는 보다 디지털 전환을 겪으며 소상공인들이 느꼈을 의사결정과 갈등의 현상을 파악하기 위하여 사례연구로 진행하였다. 연구 대상자로는 국내 대표 플랫폼인 N사에 디지털 전환 시스템인 스마트 스토어 개설과 라이브 커머스 등을 이용해 보고 싶었던 소상공인 여섯 팀을 섭외하여 진행하였다. 소상공인 디지털 전환을보다 면밀히 과정 기록 및 도움을 주기 위하여 경기도에 위치한 G학교 경영학 학부생들과의 협업으로 진행되었다. 연구는 총 12주 정도 소요되었고 프로그램이 끝난 후 각 소상공인 대표들과의 심층면담을 진행하였다. 본 연구에서는 소상공인들 스토어의 매출 및 고객 유입수가 모두 현저히 증가한 것으로 보여줌으로서 실질적인 성과가 있음을 보였다. 면담에서는 소상공인들이 디지털 전환은 새로운 고객 유입 및 홍보와 언제든 고객을 맞이할 수 있는 환경을 위해서는 선택이 아닌 필수라고 언급하여 정성적인 성과로 증명하였다.

• Information Systems Review
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• v.22 no.2
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• pp.121-135
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• 2020

Since many researchers were interested in measuring the performance of information technology investment, many studies have been conducted with various data sources and analysis methods, and most studies report that IT investment produces significant and positive results. Many of these studies have been conducted at the enterprise level, but different results may occur at the industry level. In the case of the electronics industry, if the performance of the IT highly increases, the sales of the IT produced in the electronics industry may decrease, and the added value of the electronics industry may also decrease. As a result of analysis, the increase in the IT capital of the US electronic industry did not increase the added value of the industry, but the increase in IT capital per worker in the industry had a positive effect on the increase in value added per worker (labor productivity) in the industry. In addition, the increase in IT capital in the US electronics industry has resulted in a decrease in the number of workers.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.2
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• pp.239-259
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• 2004

The purpose of this study is to review the established research practices and managerial methods on the range of Knowledge that have been independently studied from the conventional information system (libraries) and the managerial information system (MIS, DSS and EIS) within the quantitative and the non-quantitative perspective. The information systems were developed through their own purpose since the 1950s and these days the corporate environments have become integrated due to the rapid creation and expansion of information. Therefore, to make fast decisions in this situation it is appropriate that these two systems, Library and the managerial information system, should be dealt within the same category. In other words, not only the quantitative data that become main sources of DSS or EIS, but also the qualitative data such as the text documents, video and audio data, which have been managed in the libraries and information centers and not extracted from the former, can be used as the new knowledge source. Also BSS/EIS can provide the splendid infrastructure for Knowledge Management(KM) while libraries/information centers manage the comprehensive range of explicit and tacit knowledge, which can be a facilitator or main driver for KM.

• Information Systems Review
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• v.22 no.2
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• pp.201-217
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• 2020

Information security is an essential element not only to ensure the operation of the company and trust with customers but also to mitigate uncertain damage by preventing information data breach. Therefore, It is important to select appropriate information security countermeasures and determine the appropriate level of investment. This study presents a decision support model for the appropriate investment amount for each countermeasure as well as an optimal portfolio of information countermeasures within a limited budget. We analyze statistics on the types of information security breach by industry and derive an optimal portfolio of information security countermeasures by using genetic algorithms. The results of this study suggest guidelines for investing in information security countermeasures in various industries and help to support objective information security investment decisions.

• Information Systems Review
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• v.22 no.1
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• pp.183-198
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• 2020

The development of IT increases the importance of understanding of IT-driven ecosystems. Platform business is the representative business model in the era of innovative IT-based businesses. However, it lacks the review research that entails ecosystem perspectives from traditional disciplines in which the perspective of ecosystem had been applied. Further most of platform research have focused on the comparison between ecosystems as a whole rather than exploration on complementors in the ecosystem who are selected and survive and, in turn, contributed to maintain the ecosystem to compete with other ecosystems. The current study listed highly cited papers from economics, sociological ecology, socio-technical ecology, organization studies, and marketing research which have cumulated research on ecosystems. And the three most critical features that determine the success of complementors, which are competition, relationality, and adaptability. Present study showed how the features were explained by each perspective from the different disciplines.

• Journal of Korean Library and Information Science Society
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• v.42 no.3
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• pp.25-44
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• 2011

The purpose of this study is to analyze academic research trends of the library management in Korea and to suggest its outcomes and limitations. For this purpose, the study analyzed a total of 2,567 papers from 2001 to 2010 at the five authorized journals of the National Research Foundation of Korea. As a result, library management papers were occupied by about 21.8%(560 papers) of the total paper. The sub categories showed a high performance in library management research were general management, policy and system, human resource management, measurement and evaluation. However, the organization and budget management, building and facility, marketing and PR were very weak in the research performance.

• Journal of the Korean Society for information Management
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• v.11 no.2
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• pp.89-110
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• 1994

Upon completion of this study it became evident that users are more satisfied with information service with systematic arrangement, accessibility, updatedness, and abundance of information in the Scientific & Technical Library as well as skillfullness of librarians with academic background in the Library and Information Science. It is suggested that the Scientific & Technical Library carry out their missions on information networks with outside organizations using database systems.

• Information Systems Review
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• v.19 no.3
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• pp.155-177
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• 2017

The purpose of this study is to investigate those factors that are influenced when a user recognizes his/her private information value as an economic asset. The relationship among these factors will also be discussed. This research targets Internet users, and the value of their private information will be converted into economic figures. How economic value changes in relation with individual attributes, dealer's traits, and circumstantial properties will also be studied. The changes in the factors of private information value under different situations will be analyzed from an economic perspective. By using the cost-benefit analysis framework, this work hypothesizes that the user's private information value can be influenced by individual attributes and situational properties. in the business aspect, this study can help users recognize the true value of their personal information and minimize the cost resulting from private information security incidents. This work also highlights the necessity of estimating the scale of investments for protecting private information. Overall, this research will proceed under the hypothesis that the users' recognition of their private information value is influenced by the attributes of the individual, dealers, or situations.

• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.151-172
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• 2005

This study explored the possibilities on the establishment of Korean LIS (Library and Information Science) which is suitable for Korean society. For this purpose, this study traced the trends of 'decolonization discourse' in the humanities and social sciences of Korea. And this study also identified 'decolonization dicourse' in the LIS of Korea. 'Decolonization discourse' here means an effort in scholarly activities to break out of overly dominant western influences. With the context of 'decolonization discourse', this study analysed the colonized situation of Korean academic libraries. and suggested the decolonization discourse strategies to make a breakthrough in this situation. As concrete strategies, this study proposed the setting-up of strategic plan and organization development plan those are suitable for Korean academic libraries, and the intensification of Korean librarians' leadership.

• The Journal of Information Systems
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• v.28 no.3
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• pp.249-276
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• 2019

Purpose The purpose of this study is to develop a prediction model and decision rules for the elderly's suicidal ideation based on the Korean Welfare Panel survey data. By utilizing this data, we obtained many decision rules to predict the elderly's suicide ideation. Design/methodology/approach This study used classification analysis to derive decision rules to predict on the basis of decision tree technique. Weka 3.8 is used as the data mining tool in this study. The decision tree algorithm uses J48, also known as C4.5. In addition, 66.6% of the total data was divided into learning data and verification data. We considered all possible variables based on previous studies in predicting suicidal ideation of the elderly. Finally, 99 variables including the target variable were used. Classification analysis was performed by introducing sampling technique through backward elimination and data balancing. Findings As a result, there were significant differences between the data sets. The selected data sets have different, various decision tree and several rules. Based on the decision tree method, we derived the rules for suicide prevention. The decision tree derives not only the rules for the suicidal ideation of the depressed group, but also the rules for the suicidal ideation of the non-depressed group. In addition, in developing the predictive model, the problem of over-fitting due to the data imbalance phenomenon was directly identified through the application of data balancing. We could conclude that it is necessary to balance the data on the target variables in order to perform the correct classification analysis without over-fitting. In addition, although data balancing is applied, it is shown that performance is not inferior in prediction rate when compared with a biased prediction model.